Yu Akagi

459 total citations · 1 hit paper
15 papers, 224 citations indexed

About

Yu Akagi is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Infectious Diseases. According to data from OpenAlex, Yu Akagi has authored 15 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Cardiology and Cardiovascular Medicine and 2 papers in Infectious Diseases. Recurrent topics in Yu Akagi's work include Cardiac, Anesthesia and Surgical Outcomes (3 papers), Hemodynamic Monitoring and Therapy (3 papers) and Autoimmune and Inflammatory Disorders Research (2 papers). Yu Akagi is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (3 papers), Hemodynamic Monitoring and Therapy (3 papers) and Autoimmune and Inflammatory Disorders Research (2 papers). Yu Akagi collaborates with scholars based in Japan and United Kingdom. Yu Akagi's co-authors include Takehiro Izumo, Mari Tone, Minoru Inomata, Naoyuki Kuse, Nobuyasu Awano, Kohei Takada, Kazushi Fujimoto, Momoko Mawatari, Akihiro Ueda and Yutaka Muto and has published in prestigious journals such as Scientific Reports, Journal of Medical Systems and Circulation Journal.

In The Last Decade

Yu Akagi

11 papers receiving 218 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review

2024 58 citations Satoshi Takahashi, Yusuke Sakaguchi et al. Journal of Medical Systems profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yu Akagi Japan	4	84	62	33	33	32	15	224
Muhammad Hassan Pakistan	10	87 1.0×	30 0.5×	34 1.0×	16 0.5×	26 0.8×	40	558
Priya Sharma India	11	120 1.4×	24 0.4×	105 3.2×	56 1.7×	65 2.0×	39	515
Abdelwahab Aleshawi Jordan	9	58 0.7×	21 0.3×	18 0.5×	27 0.8×	22 0.7×	27	252
Sebastián García-Zamora Argentina	9	27 0.3×	24 0.4×	33 1.0×	12 0.4×	71 2.2×	44	212
Oliver Ibarrondo Spain	11	14 0.2×	40 0.6×	16 0.5×	29 0.9×	12 0.4×	45	288
Erin Miller United States	11	27 0.3×	27 0.4×	4 0.1×	21 0.6×	54 1.7×	33	386
Alexander Woodman Saudi Arabia	6	30 0.4×	19 0.3×	4 0.1×	14 0.4×	30 0.9×	25	175
Shawheen J. Rezaei United States	6	16 0.2×	18 0.3×	22 0.7×	4 0.1×	22 0.7×	26	239
Sweta Pandey India	9	19 0.2×	11 0.2×	17 0.5×	12 0.4×	73 2.3×	18	279
Amy P Worrall Ireland	5	8 0.1×	38 0.6×	28 0.8×	20 0.6×	50 1.6×	14	193

Countries citing papers authored by Yu Akagi

Since Specialization

Citations

This map shows the geographic impact of Yu Akagi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yu Akagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Akagi more than expected).

Fields of papers citing papers by Yu Akagi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu Akagi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yu Akagi. The network helps show where Yu Akagi may publish in the future.

Co-authorship network of co-authors of Yu Akagi

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Akagi. A scholar is included among the top collaborators of Yu Akagi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu Akagi. Yu Akagi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Ito, Hiromasa, Yoshimasa Kawazoe, Toru Takiguchi, et al.. (2025). Evaluation of Perioperative Cardiovascular Event Risk in Gastrointestinal Surgery　― Predictive Modeling and Risk Stratification Using Machine Learning ―. Circulation Journal.

Kawazoe, Yoshimasa, Toru Takiguchi, Yu Akagi, et al.. (2025). Sex Differences in Post-Noncardiac Surgery Risks Assessed Using the Revised Cardiac Risk Index　― A Nationwide Retrospective Cohort Study ―. Circulation Journal. 89(9). 1547–1554. 2 indexed citations

Seki, Tomohisa, Yoshimasa Kawazoe, Hiromasa Ito, et al.. (2025). Assessing the performance of zero-shot visual question answering in multimodal large language models for 12-lead ECG image interpretation. Frontiers in Cardiovascular Medicine. 12. 1458289–1458289. 3 indexed citations

Seki, Tomohisa, Toru Takiguchi, Yu Akagi, et al.. (2025). Sex difference patterns in the association of low-density lipoprotein cholesterol with disease risk and all-cause mortality: A nationwide retrospective cohort study. Journal of clinical lipidology. 19(6). 1646–1656.

Ito, Hiromasa, Yoshimasa Kawazoe, Toru Takiguchi, et al.. (2025). Prognostic impact of the timing of antihypertensive medication initiation for hypertension detected at health screening on primary prevention of adverse cardiovascular events: Age-stratified real-world data analysis. Hypertension Research. 48(9). 2401–2412. 2 indexed citations

Takiguchi, Toru, Takashi Tagami, Yu Akagi, et al.. (2025). Transfusion ratios and survival in severe blunt trauma patients receiving massive transfusion. Scientific Reports. 15(1). 25519–25519.

Takahashi, Satoshi, Yusuke Sakaguchi, Ken Takasawa, et al.. (2024). Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review. Journal of Medical Systems. 48(1). 84–84. 58 indexed citations breakdown →

Seki, Tomohisa, Toru Takiguchi, Yu Akagi, et al.. (2024). Iterative random forest-based identification of a novel population with high risk of complications post non-cardiac surgery. Scientific Reports. 14(1). 26741–26741.

Akagi, Yu, et al.. (2023). Clinical Characteristics of Retroviral Rebound Syndrome: A Case Report and Literature Review. Internal Medicine. 62(7). 1089–1093. 2 indexed citations

10.

Akagi, Yu, Harumi Shirai, Takeshi Suzuki, et al.. (2021). Aseptic Cavernosal Abscess: An Unrecognized Feature of Neutrophilic Dermatosis. Internal Medicine. 61(6). 917–921. 2 indexed citations

11.

Awano, Nobuyasu, Minoru Inomata, Naoyuki Kuse, et al.. (2020). Serum KL-6 level is a useful biomarker for evaluating the severity of coronavirus disease 2019. Respiratory Investigation. 58(6). 440–447. 38 indexed citations

12.

Akagi, Yu, Nobuyasu Awano, Minoru Inomata, et al.. (2020). Hemophagocytic Lymphohistiocytosis in a Patient with Rheumatoid Arthritis on Pembrolizumab for Lung Adenocarcinoma. Internal Medicine. 59(8). 1075–1080. 18 indexed citations

13.

Awano, Nobuyasu, Minoru Inomata, Naoyuki Kuse, et al.. (2020). Anxiety, Depression, and Resilience of Healthcare Workers in Japan During the Coronavirus Disease 2019 Outbreak. Internal Medicine. 59(21). 2693–2699. 96 indexed citations

14.

Matsuura, Kazuo, et al.. (1999). [Migratory pneumonitis similar to bronchiolitis obliterans organizing pneumonia after conservative treatment of breast cancer: a case report].. PubMed. 59(8). 412–4. 2 indexed citations

15.

Arakawa, Masaaki, et al.. (1985). Pathomorphological study on portal hypertension a study of schistosomiasis japonica in man 1. 48. 836–847. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact